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Linear Algebra Tools for Data Mining

Autor Dan A. Simovici
en Limba Engleză Hardback – 26 ian 2012
Linear algebra has gained increasing importance in data mining and pattern recognition, as shown by the many data mining publications, and has a strong impact in other disciplines like psychology, chemistry, and biology. This title presents the foundations of linear algebra ideas and techniques applied to data mining and related fields.
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Specificații

ISBN-13: 9789814383493
ISBN-10: 981438349X
Pagini: 880
Dimensiuni: 157 x 231 x 51 mm
Greutate: 1.36 kg
Editura: WORLD SCIENTIFIC

Cuprins

Modules and Linear Spaces; Matrices; MATLAV; Determinants; Norms on Linear Spaces; Inner Product Spaces; Convexity; Eigenvalues; Similarity and Spectra; Singular Values; Graphs and Matrices; Data Sample Matrices; Least Squares Approximation and Data Mining; Dimensionality Reduction Techniques; The K-Means Clustering Algorithm; Spectral Properties of Graphs and Spectral Clustering.